Topics in Expert System Design: Methodologies and ToolsExpert Systems are so far the most promising achievement of artificial intelligence research. Decision making, planning, design, control, supervision and diagnosis are areas where they are showing great potential. However, the establishment of expert system technology and its actual industrial impact are still limited by the lack of a sound, general and reliable design and construction methodology. |
From inside the book
Results 1-3 of 63
Page 9
An industrial methodology for expert system development should be designed to satisfy two sets of requirements . The first set is made up of general engineering requirements common to several technology fields ( information system ...
An industrial methodology for expert system development should be designed to satisfy two sets of requirements . The first set is made up of general engineering requirements common to several technology fields ( information system ...
Page 213
Choosing different tools for prototyping and development ( for example ) might also result from different requirements for these phases of a project , rather than from a change of direction produced by the refinement of requirements ...
Choosing different tools for prototyping and development ( for example ) might also result from different requirements for these phases of a project , rather than from a change of direction produced by the refinement of requirements ...
Page 214
Additional problem attributes that should be considered include : expected complexity and storage requirements ; operational constraints such as execution speed , real - time requirements , compatibility requirements , physical ...
Additional problem attributes that should be considered include : expected complexity and storage requirements ; operational constraints such as execution speed , real - time requirements , compatibility requirements , physical ...
What people are saying - Write a review
We haven't found any reviews in the usual places.
Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
14 other sections not shown
Other editions - View all
Common terms and phrases
abstract activities addition allow analysis application approach attribute building complete components Computer concepts conclusion considered consists construction contains decision defined depends described detailed discussed domain effective elicitation environment evaluation example expert system expertise facilities fact Figure formal frame function given goal human identified implementation important inference input instance integrated Intelligence interaction interface International interpretation knowledge acquisition knowledge base knowledge engineer knowledge representation knowledge-based language learning limited machine major means mechanisms methodology methods objects operations output particular performance phase possible practical presented problem solving produce programming Prolog prototype question reasoning refer refinement relations Report represent representation requirements rules selection shells shows situations solution specific strategies structure studies system development task techniques types validity values